SR MLOps Engineer - Remote

Company: Cognizant Technology Solutions
Location: Schiller Park
Posted on: March 31, 2026

Job Description:

Cognizant (NASDAQ: CTSH) is a leading provider of information technology, consulting, and business process outsourcing services, dedicated to helping the worlds leading companies build stronger businesses. Headquartered in Teaneck, New Jersey (U.S.). Cognizant is a member of the NASDAQ-100, the S&P 500, the Forbes Global 1000, and the Fortune 500 and we are among the top performing and fastest growing companies in the world. Candidates must have work authorization that does not require current or future visa sponsorship. Full time Remote Job Description: SR MLOps Engineer We are seeking an experienced MLOps Engineer to support the development, deployment, and operationalization of machine learning solutions across cloud and lakehouse environments. The ideal candidate will have strong hands?on experience with MLOps practices, containerization, and modern ML orchestration frameworks. Healthcare domain expertise—particularly in claims systems and coding standards—is a key requirement for this role. Key Responsibilities Build, automate, and maintain end?to?end MLOps pipelines for model training, deployment, monitoring, and lifecycle management. Develop scalable ML workflows using AWS, Databricks ML, and related cloud-native services. Containerize ML applications using Docker and manage deployments across environments. Implement model governance, versioning, CI/CD, and automated testing for ML systems. Integrate LangChain / LangGraph components into ML workflows where applicable. Collaborate with data scientists, data engineers, and product teams to operationalize models. Ensure compliance with healthcare data standards, privacy requirements, and governance frameworks. Support LLM and agent-based workflows where applicable Required Technical Skills Strong experience with MLOps, ML lifecycle automation, and production model deployment. Hands?on expertise with AWS ML services (SageMaker, Lambda, ECS, ECR) and/or Databricks ML. Proficiency with Docker and container-based deployment patterns. Experience with LangChain or LangGraph (helpful but not required). Strong understanding of CI/CD pipelines, Git-based workflows, and DevOps practices. Familiarity with monitoring and observability tools for ML systems (MLflow, SageMaker Model Monitor, Databricks Model Serving). Healthcare Domain Expertise Experience working with healthcare claims platforms such as Facets, QNXT, or HealthRules. Understanding of CPT, ICD?10, HCPCS, and related healthcare coding standards. Knowledge of claims lifecycle, adjudication processes, and payer data models. Ability to translate healthcare business rules into scalable ML and automation solutions. Preferred Qualifications Experience with feature stores, model registries, and real?time inference architectures. Exposure to data engineering concepts (Spark, Delta Lake, medallion architecture). Strong analytical, communication, and problem?solving skills. Ability to work independently and drive technical decisions in a fast?paced environment. Application Accepted: 4/15/2026 The annual salary for this position is between $120,000 - $130,000 depending on experience and other qualifications of the successful candidate. This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans. Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements: Medical/Dental/Vision/Life Insurance Paid holidays plus Paid Time Off 401(k) plan and contributions Long-term/Short-term Disability Paid Parental Leave Employee Stock Purchase Plan Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law. Our strength is built on our ability to work together. Our diverse backgrounds offer different perspectives and new ways of thinking. It encourages lively discussions, creativity, productivity, and helps us build better solutions for our clients. We want someone who thrives in this setting and is inspired to craft meaningful solutions through true collaboration. If you are content with ambiguity, excited by change, and excel through autonomy, we’d love to hear from you! LI-AV1CBInd123 The Cognizant community: We are a high caliber team who appreciate and support one another. Our people uphold an energetic, collaborative and inclusive workplace where everyone can thrive. Cognizant is a global community with more than 300,000 associates around the world. We don’t just dream of a better way – we make it happen. We take care of our people, clients, company, communities and climate by doing what’s right. We foster an innovative environment where you can build the career path that’s right for you. About us: Cognizant is one of the worlds leading professional services companies, transforming clients business, operating, and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build, and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant (a member of the NASDAQ-100 and one of Forbes World’s Best Employers 2025) is consistently listed among the most admired companies in the world. Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws. Disclaimer: Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law. Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.

Keywords: Cognizant Technology Solutions, Waukegan , SR MLOps Engineer - Remote, IT / Software / Systems , Schiller Park, Illinois